Capgemini is hiring for the position of Data Scientist in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Capgemini |
| Position | Data Scientist |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2017/2018/ 2019/ 2020/ 2021/ 2022/ 2023 |
| Experience | Freshers & Experienced |
| Location | Bangalore, India |
Key Responsibilities:
- Develop strategies to solve problems in logical yet creative ways.
- Helping & Managing teams of data scientist and produce project deliverables.
- Identify and address client needs in different domains.
- Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods.
- Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques.
- Help enhance data collection procedures to include information that is relevant for building analytical systems.
- Doing ad-hoc analysis and presenting results in a clear manner.
- Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations.
- Create custom reports and presentations accompanied by strong data visualization and storytelling.
- Present analytical conclusions to senior officials in a company and other stakeholders.
Eligibility Criteria:
- Proficient in data mining and data cleansing techniques.
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision.
- Good applied statistics skills, such as distributions, statistical inference & testing, etc.
- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
- Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
- Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc.
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoast, H2O etc.
- Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc.
Preferred skills:
- Experience in multiple domains and successfully executed big project in different domains.
- Experience on deployment of model in production.
- Familiarity with database systems of SQL and NoSQL
About Company:
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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